Pair Correlation Between Bovespa and NQPH

This module allows you to analyze existing cross correlation between Bovespa and NQPH. You can compare the effects of market volatilities on Bovespa and NQPH and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Bovespa with a short position of NQPH. See also your portfolio center. Please also check ongoing floating volatility patterns of Bovespa and NQPH.
 Time Horizon     30 Days    Login   to change
Symbolsvs
 Bovespa  vs   NQPH
 Performance (%) 
      Timeline 

Pair Volatility

Assuming 30 trading days horizon, Bovespa is expected to generate 0.91 times more return on investment than NQPH. However, Bovespa is 1.1 times less risky than NQPH. It trades about 0.58 of its potential returns per unit of risk. NQPH is currently generating about 0.29 per unit of risk. If you would invest  7,513,343  in Bovespa on December 21, 2017 and sell it today you would earn a total of  605,573  from holding Bovespa or generate 8.06% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between Bovespa and NQPH
0.9

Parameters

Time Period1 Month [change]
DirectionPositive 
StrengthVery Strong
Accuracy86.36%
ValuesDaily Returns

Diversification

Almost no diversification

Overlapping area represents the amount of risk that can be diversified away by holding Bovespa and NQPH in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on NQPH and Bovespa is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Bovespa are associated (or correlated) with NQPH. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NQPH has no effect on the direction of Bovespa i.e. Bovespa and NQPH go up and down completely randomly.
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Comparative Volatility

 Predicted Return Density 
      Returns